#!/usr/bin/env python3

import os

from langchain_community.chat_models import ChatOpenAI
from langchain_core.output_parsers import StrOutputParser
from langchain_core.prompts import ChatPromptTemplate

from memori import Memori
from tests.database.core import TestDBSession

if os.environ.get("OPENAI_API_KEY", None) is None:
    raise RuntimeError("OPENAI_API_KEY is not set")

os.environ["MEMORI_TEST_MODE"] = "1"


session = TestDBSession
client = ChatOpenAI(model="gpt-4o", streaming=True)
prompt = ChatPromptTemplate.from_messages(
    [
        ("human", "{question}"),
    ]
)
chain = prompt | client | StrOutputParser()

mem = Memori(conn=session).llm.register(chatopenai=client)

# Multiple registrations should not cause an issue.
mem.llm.register(chatopenai=client)

mem.attribution(entity_id="123", process_id="456")

print("-" * 25)

query = "What color is the planet Mars?"
print(f"me: {query}")

print("-" * 25)

print("llm: ", end="")
print(chain.invoke({"question": query}))

print("-" * 25)

query = "That planet we're talking about, in order from the sun which one is it?"
print(f"me: {query}")

print("-" * 25)
print("CONVERSATION INJECTION OCCURRED HERE!\n")

response = chain.invoke({"question": query})

print("-" * 25)
print(f"llm: {response}")

print("-" * 25)
